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Long noncoding RNA landscape in breast cancer [Mexico]

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE134359
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Breast cancer (BC) is the most commonly diagnosed neoplasm in women worldwide and a well-recognized heterogeneous pathology classified into four molecular subtypes: Luminal A, Luminal B, HER2-enriched and Basal-like, each one with different biological and clinical characteristics. It is well recognize that clinical and molecular heterogeneity of BC is driven in part by mRNA and lncRNAs. We profiled mRNAs and lncRNA in 75 adjuvant tumors using an Affymetrix microarray platform. Breast cancer tumors were collected from the archives of the Fundacion de Cancer de Mama (FUCAM) after a carefully histopathological review by two training pathologist, according to the following criteria: adjuvant therapy and collection of the surgical sample without any treatment. We obtain molecular subtype by PAM50 algorithm
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2020-08-12
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